Emily Jones
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Emily Jones Email & Phone Number

Senior Data Scientist at Big Fish Games at Epic Games
Location: San Diego County, California, United States 11 work roles 3 schools
1 work email found @hanover.com LinkedIn matched
✓ Verified July 2026 4 data sources Profile completeness 100%

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Work email e****@hanover.com
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Current company
Role
Senior Data Scientist at Big Fish Games
Location
San Diego County, California, United States
Company size

Who is Emily Jones? Overview

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Quick answer

Emily Jones is listed as Senior Data Scientist at Big Fish Games at Epic Games, a with 501 employees, based in San Diego County, California, United States. AeroLeads shows a work email signal at hanover.com and a matched LinkedIn profile for Emily Jones.

Emily Jones previously worked as Senior Data Scientist at Big Fish Games and Senior Data Scientist at Playstation. Emily Jones holds Master Of Science (M.S.), Biostatistics from University Of Massachusetts Amherst.

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Email format at Epic Games

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*@hanover.com
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Profile bio

About Emily Jones

Games Data Science professional with 9 years of experience in developing and implementing advanced analytical solutions. Proven expertise in statistical analysis, machine learning, and data visualization. Aspiring to leverage strong leadership and technical skills to ultimately guide and mentor a team of data scientists, fostering innovative data-driven strategies and contributing to organizational success.

Listed skills include Statistics, Data Analysis, R, Research, and 45 others.

Current workplace

Emily Jones's current company

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Epic Games
Epic Games
Senior Data Scientist at Big Fish Games
California, United States
Employees
501
AeroLeads page
11 roles

Emily Jones work experience

A career timeline built from the work history available for this profile.

Role listed

California, United States

Senior Data Scientist

Current

Seattle, Washington, Us

• Support multiple casual mobile games, including Gummy Drop!, Puzzles and Passports, Evermerge, and Cooking Craze.• Build machine learning models and work with engineering teams to productionize model outputs focusing on delivering actionable results quickly, rather than hunting for model perfection.• Evaluate performance of new features and content using A/B testing on experimental data Create game-agnostic tools and applications to streamline data science projects and the onboarding of new games.• Onboard and support new games by creating data tables/views, adding them to data science processes, applications, and models.• Effectively write, present, and communicate results with recommendations.• Manipulate and analyze complex, high-volume, high-dimensionality data from varying sources including collecting, assembling, cleansing data, followed by formatting, and validating results.• Proactively perform data exploration to discover innovation and testing opportunities across all games within Big Fish Games’ portfolio.

Sep 2022 - Present

Senior Data Scientist

San Mateo, California, Us

• Advised, defined, and implemented team strategy for MLB The Show data to ensure a robust understanding of overall user motivations and behaviors.• Led team of Data Scientists, Analysts and Engineers as Interim Lead for 6 months, overseeing a game launch.• Discovered business gaps that could be filled using data science.• Built and maintained machine learning models to understand user segmentation, engagement, and spending behaviors.• Contributed unique ideas to team leadership that provided insights positively impacting game design, quality, and user experience.• Communicated with team members and stakeholders to determine project needs and requirements.• Designed telemetry data hooks to be implemented into the game.• Mined complex quantitative and qualitative datasets and developed reports for projects and ad hoc requests.• Established processes to validate and improve data quality and structure within the data warehouse.• Presented to all levels of Sony Interactive Ent from interns to the CEO.

Apr 2020 - Sep 2022

Data Scientist

San Mateo, California, Us

Nov 2017 - Apr 2020

Data Scientist

New York, New York, Us

• Provided insight on Grand Theft Auto V Online and Red Dead Redemption 2 KPIs across various structured and unstructured data sources.• Identified cheating/exploit patterns and created monitoring and descriptive game analytics reporting.• Created monitoring and descriptive game analytics reporting.• Combined qualitative and quantitative data-driven insights with game knowledge.• Communicated and presented findings to stakeholders of varying levels.• Navigated, utilized and analyzed observational data, big data, telemetry, and Streaming Data.

Nov 2016 - Nov 2017

Associate Data Scientist

Personal Lines- Research and Development• Created a survival analysis model to predict length of policies and lower onboarding costs.• Delved deeply into a varying array of large data sources and prepared for analysis• Established and systematically performed processes to assess and validate data accuracy• Performed exploratory analysis such as data/text mining, empirical data analysis, univariate analysis, etc.• Ascertained and executed plans to build, implement and maintain predictive models• Translated business needs into established business goals and measures of success• Shared and presented new ideas on analytical techniques and their application to the business• Developed project plans, executed on deliverables within agreed upon time frames, managed deadlines, communicated progress and made recommendations to address issues• Explained results and implications to peers and business partners in order to build a business case• Articulated clear and concise documentation of methods and activities• Presented trainings and workshops to team and actuarial community (90+ attendees)

Jun 2015 - Jul 2016

Seigma- Shiny Project Coordinator

Amherst, Massachusetts, Us

Social & Economic Impact of Gambling in MA (SEIGMA)- Shiny Project Coordinator, UMASS- Developed and deployed Shiny applications displaying secondary social and economic data in Massachusetts in an easy to understand matter- Supervised team consisting of three graduate research assistants- Wrote, documented and reported methods of displaying data using ShinyApps.io- Trained research assistants and SEIGMA data manager

Sep 2014 - May 2015

Graduate Research Assistant- Gwas Analyst

Amherst, Massachusetts, Us

Graduate Research Assistant, Dr. A Foulkes, UMASS• Analyzed Genome-wide association study (GWAS) data• Worked to identify and develop appropriate techniques for analyzing single nucleotide polymorphisms (SNPs) and disease outcomes• Created tutorial for standardized GWAS analysis methods• Tested different imputation methods and impact on analysis

Sep 2013 - Aug 2014

Graduate Teaching Assistant

Amherst, Massachusetts, Us

Graduate Teaching Assistant, PubHlth 391f, UMASS• One of two teaching assistants for Public Health 391f: Introduction to Biostatistics• Oversaw a class of 212 undergraduate students• Held office hours for students to assist with R software and Biostatistic concepts• Administered examinations, wrote homework solutions, graded homework and assisted professor with any additional tasks

Sep 2013 - Dec 2013

Research Assistant- Monte Carlo Simulation Using Microarray Data

Fullerton, Ca, Us

Undergraduate Researcher under Dr. G Bourget, CSUF• Investigated, through a Monte Carlo Simulation study, if the classical F-test can still be used in microarray analysis even though assumptions are violated• Wrote Monte Carlo simulation code in R software• Researched and found pertinent journals related to our research• Used LaTex to produce presentation posters • Used LaTex to write two papers for Dimensions, CNSM Journal • Created poster presentation templates in LaTex to be used by future research students

Sep 2012 - Jun 2013

Technical Support Specialist

San Clemente, Ca, Us

Technical Support Specialist, Play N Trade Franchise, Inc.• Oversaw team of 5 support specialists• Wrote programs for Play N Trade’s Point of Sale (POS) System using Microsoft SQL Server• Supported 200 stores’ digital advertising, POS system, printers, console repairs and other miscellaneous technical support• Formed a new process allowing for 24 hour support• Remotely fixed and documented POS bugs at national and international locations• Created training guides and videos for new support specialists, leading to more productivity

Oct 2009 - Jul 2011
Team & coworkers

Colleagues at Epic Games

Other employees you can reach at bigfishgames.com. View company contacts for 501 employees →

3 education records

Emily Jones education

Master Of Science (M.S.), Biostatistics

University Of Massachusetts Amherst

Bs, Mathematics

California State University, Fullerton

Associate Of Arts (A.A.), Architecture

Saddleback College
FAQ

Frequently asked questions about Emily Jones

Quick answers generated from the profile data available on this page.

What company does Emily Jones work for?

Emily Jones works for Epic Games.

What is Emily Jones's role at Epic Games?

Emily Jones is listed as Senior Data Scientist at Big Fish Games at Epic Games.

What is Emily Jones's email address?

AeroLeads has found 1 work email signal at @hanover.com for Emily Jones at Epic Games.

Where is Emily Jones based?

Emily Jones is based in San Diego County, California, United States while working with Epic Games.

What companies has Emily Jones worked for?

Emily Jones has worked for Epic Games, Big Fish Games, Playstation, Rockstar Games, and The Hanover Insurance Group.

Who are Emily Jones's colleagues at Epic Games?

Emily Jones's colleagues at Epic Games include Mason Tims, Steph Rice, Seng Hay, Jennifer Kim, and Jimmy Thomas.

How can I contact Emily Jones?

You can use AeroLeads to view verified contact signals for Emily Jones at Epic Games, including work email, phone, and LinkedIn data when available.

What schools did Emily Jones attend?

Emily Jones holds Master Of Science (M.S.), Biostatistics from University Of Massachusetts Amherst.

What skills is Emily Jones known for?

Emily Jones is listed with skills including Statistics, Data Analysis, R, Research, Retail, Customer Service, Inventory Management, and Statistical Modeling.

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